Informs 2015

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INFORMS Philadelphia – 2015
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WC59
59-Room 110B, CC
Strategy/Strategic Planning II
Contributed Session
Chair: Karim Farhat, Stanford University, 475 Via Ortega, Huang
Engineering Center 245A, Stanford, CA, 94305, United States of
America,
1 - Product Spacing and The Quest for Survival: Organizational
Learning in New Markets
Josué Reynoso, PhD Student, Rensselaer Polytechnic Institute,
124 Ferry Street, Apt. 203, Troy, NY, 12180,
United States of America,
In new product markets, entrants make choices about the characteristics of their
products. Given the technological and market uncertainties, learning plays a key
role on the success of product strategies. While product differentiation is related
to faster learning, diffusion dynamics provide incentives to introduce products in
the vicinity of what is already in the market. Product-level data is used to analyze
this tension as well as pre-entry experience and order-of-entry effects.
2 - Is it Worth Trusting Your Manager?
Elena Kulchina, Assistant Professor, Duke University, Fuqua
School of Business, 100 Fuqua Drive, Durham, NC, 27708,
United States of America,
Researchers have long been interested in the role of top managers in
organizations. The research, however, has paid little attention to the social aspects
of the relationships between managers and owners. We focus one such social
aspectóthe asymmetry of trust between an owner and a manager. We
demonstrate that under-trusted managers are associated with lower firm
performance. Conversely, equal trust and over-trust have no negative association
with the performance of firms with hired managers.
3 - A Theoretical Synthesis of Research on Strategy
Implementation Effectiveness
Alex Tawse, PhD Candidate In Management, University of
Houston - Bauer College of Business, 4800 Calhoun Road,
Houston, TX, 77004, United States of America, ,
Pooya Tabesh
Strategy implementation (SI) is a critical component of organizational
performance. Despite extensive efforts by researchers to define and develop
factors that determine effective SI, a comprehensive framework of SI has yet to be
developed. Through the synthesis of existing research, we propose a model that
defines the process of SI, summarizes tools that promote SI effectiveness, and
outlines three conditions for successful SI: coordination, commitment, and
capability.
4 - Can Divestiture Foster Parent-firm’s Innovation? Proactiveness,
Experiences and Relative Size
Kyungsuk Lee, Seoul National University Business School, 599
Gwanak-ro, Gwanak-gu, Seoul, 151-916, Korea, Republic of,
, Dong-kee Rhee, Taewoo Roh
We investigate the impact of post–divestitures on innovative activities at firm-
level. This study integrated research on knowledge–based view and organizational
inertia and encompassed the model of financial distress in order to evaluate firm’s
proactive–ness. Our findings contribute to understandings of how proactive
divestiture can reinforce knowledge capacity, distant from previous studies that
regarded divestiture as a reactive action vis-‡-vis financial pressure.
5 - Quantifying Competitive Strategy: Decision Analytic Modeling of
Five-forces Framework
Karim Farhat, Stanford University, 475 Via Ortega,
Huang Engineering Center 245A, Stanford, CA, 94305,
United States of America,
We present a decision-analysis model of Porter’s Five-Forces framework, with a
case-study in the solar PV industry. While capable of generating valuable insights,
the Five-Forces have been mostly assessed qualitatively. This model quantifies the
five competitive forces, and it accounts for market uncertainties as well as value-
chain decisions. Thus, the model provides executives with a practical and robust
methodology to evaluate future profitability and strategically position their
business.
WC60
60-Room 111A, CC
Flexible Manufacturing Systems
Contributed Session
Chair: Hakan Gultekin, TOBB University of Economicas and
Technology, Sogutozu Cad No:43 Sogutozu, Ankara, Turkey,
1 - The Optimization of Agile Multi-Product Production Systems
through Markov Decision Process
Yuan Feng, Tsinghua University, Department of Automation,
Tsinghua University, Beijing, 100084, China,
, Wenhui Fan
In order to optimize the work-in-process (WIP) level in multi-product production
systems, Markov Decision Process is used to obtain the optimal workforce
scheduling policy, which dynamically allocates the cross-trained workforce
according to the system state. The results from simulation experiments show that
the WIP level of the optimal policy based on MDP is significantly lower than the
WIP levels under Longest Queue, Shortest Queue, Longest Time, Shortest Time
and Cyclic Policies in any case.
2 - Modeling and Analysis of a Flexible Manufacturing Cell with
Three Machines and a Robot
Mehmet Savsar, Professor, Kuwait University,
College of Engineering, P.O. Box 5969, Safat, 13060, Kuwait,
This paper presents a stochastic model for analysis of a Flexible Manufacturing
Cell (FMC) consisting of three flexible machines, one robot, and a pallet. Batch of
parts are conveyed into and out of the cell by the pallet, while the robot loads and
unloads the parts. The stochastic model is used to determine system performance
measures, including production rate of the cell and utilization of the system
components under different operational conditions.
3 - Cell Formation in under Uncertain Demand and Processing Times:
A Stochastic Genetic Algorithm (SGA)
Samrat Singh, Research Assistant, North Dakota State University,
1263 17th Avenue North, Unit 20 University Village, Fargo, ND,
58102, United States of America, ,
Gokhan Egilmez
This study addresses the stochastic cell formation problem with a newly proposed
stochastic genetic algorithm (SGA) approach considering stochastic demand and
processing times, thus capacity requirements. Statistical analysis was employed to
convert the uncertain demand and processing times into stochastic capacity
requirements. The stochastic nonlinear mathematical model (SNMM) and the
newly proposed SGA approaches are compared on 10, 20 and 30-product
problems.
4 - Balancing Dual Gripper Robotic Cells
Hakan Gultekin, TOBB University of Economicas and Technology,
Sogutozu Cad No:43 Sogutozu, Ankara, Turkey,
, Betul Coban, Vahid Eghbal Akhlahi
We consider a production line consisting of a number of machines and a dual-
gripper robot. Each of the identical parts has a number of. The problem is to
assign these operations to the machines satisfying the precedence constraints and
to determine the robot activity sequence that jointly maximize the throughput
rate. We develop both a mathematical programming formulation and a heuristic
algorithm for this complex problem. The performance of the heuristic is tested
through computational study.
5 - A Mathematical Model for Perishable Products with
Price- and Displayed-stock-dependent Demand
Erhun Kundakcioglu, Ozyegin University, Faculty of Engineering,
Istanbul, Turkey,
Arda Yenipazarli, Mehmet Onal
In this study, we introduce a single store multi-product order quantity model
incorporating product assortment, pricing and space-allocation decisions for
perishable products. We assume that the demand rate of a product depends on
the selling price and the on-display stock level of that item as well as other
products in the assortment. A heuristic method is developed to solve this complex
problem and the results are discussed with computational experiments to validate
the proposed approach.
WC59